DiffGCNs.py

DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling

Link to paper

Code dependencies:

pytorch
torch-scatter
torch-sparse
torch-cluster
pytorch-geometric 
numpy

To run the experiment, simply run python partsegmentation_train_test.py

If you found the paper useful for your work, please consider citing us:

@article{eliasof2020diffgcn,
  title={DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling},
  author={Eliasof, Moshe and Treister, Eran},
  journal={34th Conference on Neural Information Processing Systems (NeurIPS)},
  year={2020}
}